Data Quality Operations Analyst (Contract)

About Cartesia Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. About The Role We are a research lab looking for a Data Quality Operations Analyst to ensure our internal and vendor datasets meet the highest possible standards. As we scale our audio and text data pipelines, you will play a critical role in reducing the auditing load on our core team while maintaining rigorous quality control across multiple languages and workflows. Your Impact Audit large-scale data deliveries from vendors and internal workflows. Create, refine, and maintain comprehensive quality guidelines for each specific dataset. Provide structured, actionable feedback to both external vendors and internal teams. Review and approve recording data voice actors across locales. What You Bring Exceptional attention to detail and a highly organized approach to reviewing large volumes of data. Strong communication skills, with the ability to synthesize complex data audits into clear, structured feedback for vendors. Operational discipline—you can handle repetitive, high-focus tasks while maintaining a high bar for quality. Ability to work independently and manage your own time effectively to meet tight project deadlines. Nice To Have Prior experience working with audio data, transcription, or linguistics. Proficiency in multiple languages to assist with diverse locale audits. Familiarity with data annotation platforms and vendor management Details Rate: $25-40/hr Hours: 20-40 hrs a week Duration: Initial 3 months (with potential for extension) Please Note: This position is a contractor role and is not eligible for the full-time employee (FTE) benefits listed below. Contractors are engaged on an independent basis and do not receive company-sponsored health insurance, retirement plans, paid time off, or some of the other benefits outlined in this posting, which apply exclusively to permanent FTE positions More Details 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. Our Benefits (US Employees Only) 💰 Compensation. Competitive base salary alongside attractive equity package. 🩺 Health Insurance. Fully covered medical insurance along with dental and vision for you and your family. 🏦 401(k) 🚆 Commuter Allowance . A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO . Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks . Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi.

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